Localized MFS for three-dimensional acoustic inverse problems on complicated domains

IF 3.4 Q1 ENGINEERING, MECHANICAL 国际机械系统动力学学报(英文) Pub Date : 2022-04-22 DOI:10.1002/msd2.12031
Zengtao Chen, Fajie Wang, Suifu Cheng, Guozheng Wu
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引用次数: 3

Abstract

This paper proposes a semi-analytical and local meshless collocation method, the localized method of fundamental solutions (LMFS), to address three-dimensional (3D) acoustic inverse problems in complex domains. The proposed approach is a recently developed numerical scheme with the potential of being mathematically simple, numerically accurate, and requiring less computational time and storage. In  LMFS, an overdetermined sparse linear system is constructed by using the known data at the nodes on the accessible boundary and by making the remaining nodes satisfy the governing equation. In the numerical procedure, the pseudoinverse of a matrix is solved via the truncated singular value decomposition, and thus the regularization techniques are not needed in solving the resulting linear system with a well-conditioned matrix. Numerical experiments, involving complicated geometry and the high noise level, confirm the effectiveness and performance of the LMFS for solving 3D acoustic inverse problems.

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复杂域三维声学反演问题的局部MFS
本文提出了一种半解析的局部无网格配置方法——基本解的局部化方法(LMFS),用于解决复杂域的三维声学逆问题。所提出的方法是最近开发的一种数值方案,具有数学上简单,数值上准确,并且需要更少的计算时间和存储的潜力。在LMFS中,利用可达边界上节点的已知数据,并使剩余节点满足控制方程,构造一个过定稀疏线性系统。在数值过程中,矩阵的伪逆是通过截断奇异值分解来求解的,因此在求解具有良好条件矩阵的线性系统时不需要正则化技术。在复杂几何和高噪声条件下的数值实验,验证了LMFS求解三维声学逆问题的有效性和性能。
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